---
title: "Zhongyu Ouyang — author profile and papers in our library"
description: "Zhongyu Ouyang, Dartmouth College: 4 papers on Elamur Research (2025–2026), h-index 4 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/zhongyu-ouyang/"
---
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# Zhongyu Ouyang

Zhongyu Ouyang has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Chunhui Zhang](https://md.research.elamur.ai/free/en/authors/chunhui-zhang/), [Soroush Vosoughi](https://md.research.elamur.ai/free/en/authors/soroush-vosoughi/), [Chiyu Ma](https://md.research.elamur.ai/free/en/authors/chiyu-ma/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5006449247) · [ORCID](https://orcid.org/0000-0002-4830-6768) · [**h-index 4**](https://openalex.org/authors/A5006449247) · [20 works](https://openalex.org/works?filter=author.id:A5006449247) · [64 citations](https://openalex.org/works?filter=author.id:A5006449247&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhongyu-ouyang/#papers) · [🔗 Cited 20 times in our library](https://md.research.elamur.ai/free/en/authors/zhongyu-ouyang/cited-by/) · [⭐ Paper Stars ranking: #8986](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8986)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zhongyu+Ouyang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhongyu+Ouyang) · [dblp](https://dblp.org/search?q=Zhongyu+Ouyang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhongyu+Ouyang)

## Affiliations

[🎓**Dartmouth College** Hanover · United States 2024–2026 · 13 papersEducation since 2024*current*](https://md.research.elamur.ai/free/en/universities/dartmouth-college/) · [🎓**University of Notre Dame** Notre Dame · United States 2022–2024 · 4 papersEducation 2022–2024 · Ph.D., Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-notre-dame/) · [🎓**University of Pittsburgh** Pittsburgh · United States 2018–2020Education 2018–2020 · M.S., Industrial Engineering](https://md.research.elamur.ai/free/en/universities/university-of-pittsburgh/) · [🎓**Tianjin University** Tianjin · China 2014–2018Education 2014–2018 · B.S., Metallurgical Engineering](https://md.research.elamur.ai/free/en/universities/tianjin-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zhongyu-ouyang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/zhongyu-ouyang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models](https://md.research.elamur.ai/free/en/papers/diao-2025-soundmind-rl-incentivized-logic-reasoning/)** *(2025 · 11 citations)* Large audio-language models (LALMs) can understand speech, but they are weak at multi-step logical reasoning.
2. **[Growing Through Experience: Scaling Episodic Grounding in Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-growing-through-experience-scaling-episodic/)** *(2025 · 5 citations)* The paper addresses how language models can learn from past interaction experience (episodic grounding) to plan physical, multi-step tasks.
3. **[What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/jia-2026-what-makes-good-curriculum-disentangling/)** *(2026 · 4 citations)* Curriculum learning, which sorts training examples from easy to hard, is often used to improve LLM reasoning.
4. **[What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context](https://md.research.elamur.ai/free/en/papers/ouyang-2026-what-makes-llms-effective-sequential/)** *(2026 · 1 citation)* LLM-based sequential recommenders are usually tuned with DPO-style alignment, which reduces user feedback to simple preferred-versus-dispreferred pairs.

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Chunhui Zhang](https://md.research.elamur.ai/free/en/authors/chunhui-zhang/) ×4
- [Soroush Vosoughi](https://md.research.elamur.ai/free/en/authors/soroush-vosoughi/) ×4
- [Chiyu Ma](https://md.research.elamur.ai/free/en/authors/chiyu-ma/) ×2
- [Xiangchi Yuan](https://md.research.elamur.ai/free/en/authors/xiangchi-yuan/) ×2
- [Xingjian Diao](https://md.research.elamur.ai/free/en/authors/xingjian-diao/) ×2
- [Peijun Qing](https://md.research.elamur.ai/free/en/authors/peijun-qing/)
- [Sirui Wang](https://md.research.elamur.ai/free/en/authors/sirui-wang/)
- [Yanfang Ye](https://md.research.elamur.ai/free/en/authors/yanfang-ye/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhongyu-ouyang/cited-by/).

Updated 31 October 2026
